AI methods in materials design, discovery and manufacturing: A review

Author:

Papadimitriou IoannisORCID,Gialampoukidis IliasORCID,Vrochidis StefanosORCID,Kompatsiaris IoannisORCID

Funder

European Commission

HORIZON EUROPE Framework Programme

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference141 articles.

1. Machine learning in materials science;Wei;InfoMat,2019

2. Machine learning in materials science: Recent progress and emerging applications;Mueller;Rev. Comput. Chem.,2016

3. Predicting the Young’s modulus of silicate glasses using high-throughput molecular dynamics simulations and machine learning;Yang;Sci. Rep.,2019

4. Predicting densities and elastic moduli of SiO2-based glasses by machine learning;Hu;NPJ Comput. Mater.,2020

5. Ultra-high temperature ceramics melting temperature prediction via machine learning;Qu;Ceram. Int.,2019

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